This reposotory release a gearbox failure dataset, which can support intelliegnt fault diagnosis research（实验室自采齿轮箱开源数据集，包含稳定转速和时变转速）

An advanced framework for mechanical fault diagnosis using Physics-Informed Machine Learning (PiML). Combines TLS-DMD, physics-driven feature extraction, and Random Forest on the CWRU Bearing Datas…

A Foundation Model for Industrial Signal Comprehensive Representation

The code for paper "Enhancing Industrial Fault Diagnosis: A Probabilistic Expert System with LLM‑Augmented Validation".

A curated collection of papers, code, and resources on LLMs for time series forecasting, classification, fault diagnosis, anomaly detection, and prognostics.

Machine tool cutting dataset

[IEEEHTC2023] Repo to analyse and predict cutting tool wear using acoustic signals.

This project implements a decentralized multi-agent reinforcement learning (MARL) framework for local energy markets, focusing on implicit cooperation between agents to maintain grid balance while …

RL Dresden Algorithm Suite

Large Language Model framework for machine fault diagnosis using FFT and statistical features from time-series vibration data.

AI Paper Review Prompts

UIWidget is a Unity Package which helps developers to create, debug and deploy efficient, cross-platform Apps.

OPC-UA GUI Client

Research on online identification and intelligent vibration suppression of robot machining based on deep learning

Awesome Literature Graph Learning Challenges

This repository provides an example implementation DEMO of the MAKG fault diagnosis method.

This code corresponds to the paper titled "Zero-Shot Compound Fault Cross-Condition Generalization Fault Diagnosis Method Based on Attribute-Conditioned Diffusion Model and Distribution Shift Calib…

Our code was published in the journal Energy and Buildings

Unsupervised process mining-based modeling and simulation of cyber-physical systems' low-level sensor data

This library summarizes the sate-of-the-art explainable intelligent fault diagnosis methods.

使用PCA进行降维后,生成融合后的RGB图像。/After dimensionality reduction using PCA, generate a fused RGB image.

PKMTCL: Prior Knowledge-informed Multi-Task Collaborative Learning for few-shot cross-domain aero-engine bearing fault diagnosis.